Signal processing and modeling of dynamical objects on the basis of their description as discrete information sources

Modeling of processes in dynamical systems of different physical nature is a relevant problem that can be successfully solved with a help of their description as discrete information sources (DIS) and integration of different sensor signals imaging system characteristics of objects. We made an attempt to combine a body of mathematics for the description of dynamical objects on the basis of differential equation systems with their description with a help of statistical, correlation, entropy, logico-statistical models. It allows the parallelisation of computational procedures and increasing model accuracy.